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The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies
Journal of biomedical informatics, 2021-01, Vol.113, p.103655-103655, Article 103655
2021
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Transparency of deep neural networks for medical image analysis: A review of interpretability methods
Computers in biology and medicine, 2022-01, Vol.140, p.105111-105111, Article 105111
2022
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ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesions
Computer methods and programs in biomedicine, 2022-03, Vol.215, p.106620-106620, Article 106620
2022
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A review of Earth Artificial Intelligence
Computers & geosciences, 2022-02, Vol.159 (C), p.105034, Article 105034
2022
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Deep learning, explained: Fundamentals, explainability, and bridgeability to process-based modelling
Environmental modelling & software : with environment data news, 2021-10, Vol.144, p.105159, Article 105159
2021
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Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture
Computers in biology and medicine, 2022-12, Vol.151 (Pt A), p.106178-106178, Article 106178
2022
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Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals
Computers in biology and medicine, 2022-07, Vol.146, p.105550-105550, Article 105550
2022
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Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks
Computers in biology and medicine, 2023-04, Vol.156 (C), p.106668-106668, Article 106668
2023
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An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea
Computers in biology and medicine, 2023-10, Vol.165, p.107419-107419, Article 107419
2023
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Privacy-preserving artificial intelligence in healthcare: Techniques and applications
Computers in biology and medicine, 2023-05, Vol.158, p.106848-106848, Article 106848
2023
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Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI
Computers in biology and medicine, 2022-11, Vol.150, p.106156-106156, Article 106156
2022
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Peeking inside the black-box: Explainable machine learning applied to household transportation energy consumption
Computers, environment and urban systems, 2021-07, Vol.88, p.101647, Article 101647
2021
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Animal behavior classification via deep learning on embedded systems
Computers and electronics in agriculture, 2023-04, Vol.207, p.107707, Article 107707
2023
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Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs
Computers in biology and medicine, 2021-05, Vol.132, p.104335-104335, Article 104335
2021
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A study on visual features of leaves in plant identification using artificial intelligence techniques
Computers and electronics in agriculture, 2019-01, Vol.156, p.369-377
2019
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Visual interpretability in 3D brain tumor segmentation network
Computers in biology and medicine, 2021-06, Vol.133, p.104410-104410, Article 104410
2021
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From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks
Computer methods and programs in biomedicine, 2023-06, Vol.236, p.107550-107550, Article 107550
2023
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Unscrambling spectral interference and matrix effects in Vitis vinifera Vis-NIR spectroscopy: Towards analytical grade ‘in vivo’ sugars and acids quantification
Computers and electronics in agriculture, 2022-03, Vol.194, p.106710, Article 106710
2022
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CVD22: Explainable artificial intelligence determination of the relationship of troponin to D-Dimer, mortality, and CK-MB in COVID-19 patients
Computer methods and programs in biomedicine, 2023-05, Vol.233, p.107492-107492, Article 107492
2023
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An omics-to-omics joint knowledge association subtensor model for radiogenomics cross-modal modules from genomics and ultrasonic images of breast cancers
Computers in biology and medicine, 2023-03, Vol.155, p.106672-106672, Article 106672
2023
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Interpretable heartbeat classification using local model-agnostic explanations on ECGs
Computers in biology and medicine, 2021-06, Vol.133, p.104393-104393, Article 104393
2021
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A survey on intelligent agents and multi-agents for irrigation scheduling
Computers and electronics in agriculture, 2020-09, Vol.176, p.105474, Article 105474
2020
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Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound
Computers in biology and medicine, 2020-11, Vol.126, p.104043-104043, Article 104043
2020
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Application of explainable artificial intelligence in the identification of Squamous Cell Carcinoma biomarkers
Computers in biology and medicine, 2022-07, Vol.146, p.105505-105505, Article 105505
2022
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Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box
Computers in biology and medicine, 2021-08, Vol.135, p.104578-104578, Article 104578
2021
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